trainer_state.json

{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 3.0,
  "eval_steps": 500,
  "global_step": 1626,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.922509225092251,
      "grad_norm": 0.6193047165870667,
      "learning_rate": 3.4624846248462485e-05,
      "loss": 0.5669,
      "step": 500
    },
    {
      "epoch": 1.8450184501845017,
      "grad_norm": 0.5879950523376465,
      "learning_rate": 1.924969249692497e-05,
      "loss": 0.4066,
      "step": 1000
    },
    {
      "epoch": 2.767527675276753,
      "grad_norm": 0.9034110307693481,
      "learning_rate": 3.874538745387454e-06,
      "loss": 0.3173,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "step": 1626,
      "total_flos": 2.068561910815949e+16,
      "train_loss": 0.41841167248189814,
      "train_runtime": 3228.8428,
      "train_samples_per_second": 0.504,
      "train_steps_per_second": 0.504
    }
  ],
  "logging_steps": 500,
  "max_steps": 1626,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 2.068561910815949e+16,
  "train_batch_size": 1,
  "trial_name": null,
  "trial_params": null
}